{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f05512a3",
   "metadata": {},
   "source": [
    "# 汉字识别系统\n",
    "\n",
    "本笔记本实现了对生字表中汉字的提取和识别功能。系统流程包括：\n",
    "\n",
    "1. 图像预处理：增强对比度、二值化\n",
    "2. 方格定位：检测和提取包含汉字的方格\n",
    "3. 汉字提取：从每个方格中提取出单个汉字\n",
    "4. OCR识别：使用Tesseract OCR引擎识别汉字\n",
    "5. 结果展示与导出：可视化识别结果并保存到文件\n",
    "\n",
    "## 安装必要的依赖\n",
    "\n",
    "使用本笔记本前，需要安装以下依赖：\n",
    "\n",
    "1. **Tesseract OCR引擎**（用于识别汉字）:\n",
    "   - Windows: 从[此处](https://github.com/UB-Mannheim/tesseract/wiki)下载并安装\n",
    "   - 安装时选择添加中文语言包（chi_sim）\n",
    "   - 安装后可能需要设置环境变量或在代码中指定Tesseract路径\n",
    "\n",
    "2. **Python依赖库**:\n",
    "   ```\n",
    "   pip install pytesseract pillow matplotlib opencv-python\n",
    "   ```\n",
    "\n",
    "3. **配置Tesseract路径**:\n",
    "   找到代码中的这一行并取消注释，设置为你的Tesseract安装路径：\n",
    "   ```python\n",
    "   # pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'\n",
    "   ```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b1a17c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===== 从原始图像提取汉字并识别 =====\n",
      "1. 图像读取与预处理...\n",
      "2. 生字表特殊预处理...\n",
      "3. 提取方格区域...\n",
      "4. 处理表格线...\n",
      "5. 汉字区域增强...\n",
      "6. 定位汉字方格...\n",
      "7. 排序汉字方格...\n",
      "8. 正在提取 89 个汉字...\n",
      "识别汉字 1 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 2 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 3 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 4 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 5 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 6 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 7 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 8 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 9 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 10 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 11 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 12 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 13 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 14 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 15 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 16 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 17 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 18 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 19 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 20 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 21 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 22 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 23 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 24 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 25 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 26 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 27 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 28 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 29 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 30 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 31 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 32 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 33 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 34 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 35 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 36 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 37 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 38 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 39 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 40 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 9 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 10 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 11 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 12 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 13 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 14 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 15 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 16 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 17 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 18 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 19 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 20 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 21 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 22 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 23 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 24 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 25 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 26 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 27 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 28 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 29 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 30 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 31 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 32 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 33 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 34 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 35 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 36 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 37 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 38 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 39 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 40 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 41 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 42 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 43 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 44 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 45 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 46 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 47 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 48 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 49 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 50 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 51 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 52 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 53 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 54 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 55 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 56 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 57 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 58 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 59 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 60 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 61 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 62 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 63 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 64 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 65 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 66 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 67 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 68 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 69 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 70 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 71 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 72 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 41 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 42 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 43 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 44 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 45 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 46 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 47 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 48 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 49 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 50 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 51 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 52 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 53 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 54 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 55 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 56 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 57 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 58 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 59 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 60 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 61 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 62 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 63 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 64 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 65 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 66 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 67 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 68 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 69 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 70 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 71 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 72 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 73 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 74 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 75 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 76 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 77 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 78 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 79 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 80 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 81 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 82 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 83 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 84 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 85 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 86 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 87 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 88 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 89 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "处理完成！共提取 89 个汉字\n",
      "识别汉字 73 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 74 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 75 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 76 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 77 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 78 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 79 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 80 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 81 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 82 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 83 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 84 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 85 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 86 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 87 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 88 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "识别汉字 89 时出错: tesseract is not installed or it's not in your PATH. See README file for more information.\n",
      "处理完成！共提取 89 个汉字\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\huawei\\AppData\\Local\\Temp\\ipykernel_34324\\3733355447.py:188: UserWarning: Glyph 35782 (\\N{CJK UNIFIED IDEOGRAPH-8BC6}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "C:\\Users\\huawei\\AppData\\Local\\Temp\\ipykernel_34324\\3733355447.py:188: UserWarning: Glyph 21035 (\\N{CJK UNIFIED IDEOGRAPH-522B}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "C:\\Users\\huawei\\AppData\\Local\\Temp\\ipykernel_34324\\3733355447.py:188: UserWarning: Glyph 38169 (\\N{CJK UNIFIED IDEOGRAPH-9519}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "C:\\Users\\huawei\\AppData\\Local\\Temp\\ipykernel_34324\\3733355447.py:188: UserWarning: Glyph 35823 (\\N{CJK UNIFIED IDEOGRAPH-8BEF}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "d:\\Anaconda\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 35782 (\\N{CJK UNIFIED IDEOGRAPH-8BC6}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "d:\\Anaconda\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 38169 (\\N{CJK UNIFIED IDEOGRAPH-9519}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "d:\\Anaconda\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 35823 (\\N{CJK UNIFIED IDEOGRAPH-8BEF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "d:\\Anaconda\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 35782 (\\N{CJK UNIFIED IDEOGRAPH-8BC6}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "d:\\Anaconda\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 38169 (\\N{CJK UNIFIED IDEOGRAPH-9519}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "d:\\Anaconda\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 35823 (\\N{CJK UNIFIED IDEOGRAPH-8BEF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x2000 with 89 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "识别结果已导出到 recognized_chars.txt\n",
      "识别率: 0/89 (0.00%)\n",
      "识别出的所有汉字: \n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import cv2\n",
    "import numpy as np\n",
    "import pytesseract\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt\n",
    "from collections import defaultdict\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "# 配置tesseract（Windows路径，需要根据实际安装位置调整）\n",
    "# pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'\n",
    "\n",
    "# -----------------------------------\n",
    "# 1. 基础汉字提取与识别功能\n",
    "# -----------------------------------\n",
    "def extract_chars_from_worksheet(image_path, output_dir='chars', recognize_text=False):\n",
    "    \"\"\" 专门用于生字表汉字提取的函数，可选择是否识别汉字 \"\"\"\n",
    "    \n",
    "    # 创建输出目录\n",
    "    os.makedirs(output_dir, exist_ok=True)\n",
    "    \n",
    "    # 1. 图像读取与预处理\n",
    "    print(\"1. 图像读取与预处理...\")\n",
    "    img = cv2.imread(image_path)\n",
    "    if img is None:\n",
    "        raise FileNotFoundError(f\"无法读取图像文件：{image_path}\")\n",
    "    \n",
    "    # 保存原始图像副本用于OCR识别\n",
    "    original_img = img.copy()\n",
    "    \n",
    "    # 尺寸标准化（保持宽高比）\n",
    "    height, width = img.shape[:2]\n",
    "    if max(height, width) > 1500:\n",
    "        scale = 1500 / max(height, width)\n",
    "        img = cv2.resize(img, None, fx=scale, fy=scale)\n",
    "        original_img = cv2.resize(original_img, None, fx=scale, fy=scale)\n",
    "    \n",
    "    # 2. 针对生字表的特殊预处理\n",
    "    print(\"2. 生字表特殊预处理...\")\n",
    "    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "    \n",
    "    # 强化方格和汉字对比度\n",
    "    blurred = cv2.GaussianBlur(gray, (5,5), 0)\n",
    "    clahe = cv2.createCLAHE(clipLimit=3.0, tileGridSize=(8,8))\n",
    "    enhanced = clahe.apply(blurred)\n",
    "    \n",
    "    # 3. 提取方格区域\n",
    "    print(\"3. 提取方格区域...\")\n",
    "    binary = cv2.adaptiveThreshold(enhanced, 255, \n",
    "                                 cv2.ADAPTIVE_THRESH_GAUSSIAN_C, \n",
    "                                 cv2.THRESH_BINARY_INV, 45, 15)\n",
    "    \n",
    "    # 4. 检测并去除表格线\n",
    "    print(\"4. 处理表格线...\")\n",
    "    # 水平线检测\n",
    "    horizontal_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (50,1))\n",
    "    horizontal = cv2.morphologyEx(binary, cv2.MORPH_OPEN, horizontal_kernel, iterations=2)\n",
    "    \n",
    "    # 垂直线检测\n",
    "    vertical_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (1,50))\n",
    "    vertical = cv2.morphologyEx(binary, cv2.MORPH_OPEN, vertical_kernel, iterations=2)\n",
    "    \n",
    "    # 合并表格线并去除\n",
    "    table_lines = cv2.add(horizontal, vertical)\n",
    "    no_lines = cv2.subtract(binary, table_lines)\n",
    "    \n",
    "    # 5. 汉字区域增强\n",
    "    print(\"5. 汉字区域增强...\")\n",
    "    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5,5))\n",
    "    enhanced_chars = cv2.morphologyEx(no_lines, cv2.MORPH_CLOSE, kernel, iterations=2)\n",
    "    \n",
    "    # 6. 定位汉字方格\n",
    "    print(\"6. 定位汉字方格...\")\n",
    "    contours, _ = cv2.findContours(enhanced_chars, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
    "    \n",
    "    # 过滤条件\n",
    "    min_area = 1000\n",
    "    max_area = 12000\n",
    "    valid_cells = []\n",
    "    \n",
    "    for cnt in contours:\n",
    "        x,y,w,h = cv2.boundingRect(cnt)\n",
    "        area = w * h\n",
    "        \n",
    "        # 只保留符合方格特征的区域\n",
    "        if min_area < area < max_area and 0.7 < w/h < 1.3:\n",
    "            valid_cells.append((x,y,w,h))\n",
    "    \n",
    "    # 7. 按行列排序方格\n",
    "    print(\"7. 排序汉字方格...\")\n",
    "    if valid_cells:\n",
    "        # 计算平均行高和列宽\n",
    "        avg_height = np.mean([h for _,_,_,h in valid_cells])\n",
    "        avg_width = np.mean([w for _,_,w,_ in valid_cells])\n",
    "        \n",
    "        # 按行和列排序\n",
    "        valid_cells.sort(key=lambda c: (c[1]//int(avg_height*0.9), c[0]//int(avg_width*0.9)))\n",
    "    \n",
    "    # 8. 提取每个方格中的汉字\n",
    "    print(f\"8. 正在提取 {len(valid_cells)} 个汉字...\")\n",
    "    \n",
    "    # 存储识别结果\n",
    "    recognition_results = []\n",
    "    \n",
    "    for i, (x,y,w,h) in enumerate(valid_cells):\n",
    "        # 从原始图像提取方格区域（扩大10%范围）\n",
    "        pad = int(min(w,h)*0.1)\n",
    "        roi = enhanced[max(0,y-pad):min(enhanced.shape[0],y+h+pad), \n",
    "                      max(0,x-pad):min(enhanced.shape[1],x+w+pad)]\n",
    "        \n",
    "        # 对单个方格进行二值化\n",
    "        _, cell_binary = cv2.threshold(roi, 0, 255, \n",
    "                                      cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)\n",
    "        \n",
    "        # 提取最大连通区域（去除小噪点）\n",
    "        num_labels, labels, stats, _ = cv2.connectedComponentsWithStats(cell_binary)\n",
    "        if num_labels > 1:\n",
    "            # 找到第二大的区域（第一大为背景）\n",
    "            sizes = stats[1:, -1]\n",
    "            max_idx = np.argmax(sizes) + 1\n",
    "            char_img = np.uint8(labels == max_idx) * 255\n",
    "            \n",
    "            # 裁剪到字符实际区域\n",
    "            x2,y2,w2,h2,_ = stats[max_idx]\n",
    "            char_img = char_img[y2:y2+h2, x2:x2+w2]\n",
    "            \n",
    "            # 标准化输出\n",
    "            char_img = cv2.copyMakeBorder(char_img, 20,20,20,20, \n",
    "                                        cv2.BORDER_CONSTANT, value=0)\n",
    "            char_img = cv2.resize(char_img, (100,100), \n",
    "                                interpolation=cv2.INTER_AREA)\n",
    "            \n",
    "            # 保存汉字\n",
    "            output_path = f\"{output_dir}/hanzi_{i+1:03d}.png\"\n",
    "            cv2.imwrite(output_path, char_img)\n",
    "            \n",
    "            # OCR识别汉字\n",
    "            if recognize_text:\n",
    "                # 为了提高识别准确率，将方格区域从原始彩色图像中提取\n",
    "                original_roi = original_img[max(0,y):min(original_img.shape[0],y+h), \n",
    "                                         max(0,x):min(original_img.shape[1],x+w)]\n",
    "                \n",
    "                # 转换为PIL图像\n",
    "                pil_img = Image.fromarray(cv2.cvtColor(original_roi, cv2.COLOR_BGR2RGB))\n",
    "                \n",
    "                # 使用pytesseract识别汉字\n",
    "                try:\n",
    "                    # 使用中文简体模式\n",
    "                    text = pytesseract.image_to_string(pil_img, lang='chi_sim', config='--psm 10')\n",
    "                    # 清理识别结果（去除空格和换行）\n",
    "                    text = text.strip().replace(' ', '').replace('\\n', '')\n",
    "                    if text:\n",
    "                        recognition_results.append((i+1, text, output_path))\n",
    "                    else:\n",
    "                        recognition_results.append((i+1, \"未识别\", output_path))\n",
    "                except Exception as e:\n",
    "                    print(f\"识别汉字 {i+1} 时出错: {str(e)}\")\n",
    "                    recognition_results.append((i+1, \"识别错误\", output_path))\n",
    "    \n",
    "    print(f\"处理完成！共提取 {len(valid_cells)} 个汉字\")\n",
    "    \n",
    "    return recognition_results\n",
    "\n",
    "# -----------------------------------\n",
    "# 2. 结果可视化与导出功能\n",
    "# -----------------------------------\n",
    "def visualize_recognition_results(results, rows=10, cols=10):\n",
    "    \"\"\"可视化识别结果\"\"\"\n",
    "    if not results:\n",
    "        print(\"没有识别结果可显示\")\n",
    "        return\n",
    "    \n",
    "    # 计算需要的行数和列数\n",
    "    n = len(results)\n",
    "    if rows * cols < n:\n",
    "        rows = int(np.ceil(n / cols))\n",
    "    \n",
    "    # 创建图形\n",
    "    plt.figure(figsize=(cols*2, rows*2))\n",
    "    \n",
    "    for idx, (num, text, img_path) in enumerate(results):\n",
    "        if idx >= rows * cols:\n",
    "            break\n",
    "            \n",
    "        # 读取图像\n",
    "        img = cv2.imread(img_path)\n",
    "        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "        \n",
    "        # 添加子图\n",
    "        plt.subplot(rows, cols, idx+1)\n",
    "        plt.imshow(img)\n",
    "        plt.title(f\"{num}: {text}\", fontsize=10)\n",
    "        plt.axis('off')\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "def export_recognition_results(results, output_file='recognized_chars.txt'):\n",
    "    \"\"\"将识别结果导出到文本文件\"\"\"\n",
    "    if not results:\n",
    "        print(\"没有识别结果可导出\")\n",
    "        return\n",
    "    \n",
    "    # 按编号排序\n",
    "    results.sort(key=lambda x: x[0])\n",
    "    \n",
    "    with open(output_file, 'w', encoding='utf-8') as f:\n",
    "        f.write(\"序号,识别结果,文件路径\\n\")\n",
    "        for num, text, path in results:\n",
    "            f.write(f\"{num},{text},{path}\\n\")\n",
    "    \n",
    "    print(f\"识别结果已导出到 {output_file}\")\n",
    "\n",
    "# -----------------------------------\n",
    "# 3. 批量识别功能\n",
    "# -----------------------------------\n",
    "def batch_recognize_chars(folder_path='chars'):\n",
    "    \"\"\"对已提取的汉字图像进行批量识别\"\"\"\n",
    "    if not os.path.exists(folder_path):\n",
    "        print(f\"错误：文件夹 {folder_path} 不存在\")\n",
    "        return []\n",
    "    \n",
    "    # 获取所有PNG图像\n",
    "    char_files = [f for f in os.listdir(folder_path) if f.endswith('.png')]\n",
    "    char_files.sort()  # 按文件名排序\n",
    "    \n",
    "    results = []\n",
    "    \n",
    "    print(f\"开始识别 {len(char_files)} 个汉字图像...\")\n",
    "    for file in char_files:\n",
    "        file_path = os.path.join(folder_path, file)\n",
    "        \n",
    "        # 获取编号\n",
    "        num = int(file.split('_')[1].split('.')[0])\n",
    "        \n",
    "        # 读取图像\n",
    "        img = cv2.imread(file_path)\n",
    "        if img is None:\n",
    "            print(f\"无法读取图像：{file_path}\")\n",
    "            continue\n",
    "        \n",
    "        # 转换为PIL图像\n",
    "        pil_img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))\n",
    "        \n",
    "        # 使用pytesseract识别汉字\n",
    "        try:\n",
    "            # 使用中文简体模式\n",
    "            text = pytesseract.image_to_string(pil_img, lang='chi_sim', config='--psm 10')\n",
    "            # 清理识别结果\n",
    "            text = text.strip().replace(' ', '').replace('\\n', '')\n",
    "            if text:\n",
    "                results.append((num, text, file_path))\n",
    "            else:\n",
    "                results.append((num, \"未识别\", file_path))\n",
    "        except Exception as e:\n",
    "            print(f\"识别汉字 {file} 时出错: {str(e)}\")\n",
    "            results.append((num, \"识别错误\", file_path))\n",
    "    \n",
    "    print(f\"识别完成！共识别 {len(results)} 个汉字\")\n",
    "    return results\n",
    "\n",
    "# -----------------------------------\n",
    "# 4. 汉字特征提取和聚类分析\n",
    "# -----------------------------------\n",
    "def extract_features(image_path):\n",
    "    \"\"\"从图像中提取特征\"\"\"\n",
    "    img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)\n",
    "    if img is None:\n",
    "        return None\n",
    "    \n",
    "    # 调整大小为统一尺寸\n",
    "    img = cv2.resize(img, (32, 32))\n",
    "    \n",
    "    # 提取HOG特征（方向梯度直方图）\n",
    "    win_size = (32, 32)\n",
    "    block_size = (8, 8)\n",
    "    block_stride = (4, 4)\n",
    "    cell_size = (4, 4)\n",
    "    nbins = 9\n",
    "    \n",
    "    hog = cv2.HOGDescriptor(win_size, block_size, block_stride, cell_size, nbins)\n",
    "    features = hog.compute(img)\n",
    "    \n",
    "    return features.flatten()\n",
    "\n",
    "def cluster_characters(folder_path='chars', n_clusters=5):\n",
    "    \"\"\"对汉字进行聚类分析\"\"\"\n",
    "    if not os.path.exists(folder_path):\n",
    "        print(f\"错误：文件夹 {folder_path} 不存在\")\n",
    "        return\n",
    "    \n",
    "    # 获取所有PNG图像\n",
    "    char_files = [os.path.join(folder_path, f) for f in os.listdir(folder_path) if f.endswith('.png')]\n",
    "    char_files.sort()  # 按文件名排序\n",
    "    \n",
    "    print(f\"正在提取 {len(char_files)} 个汉字的特征...\")\n",
    "    \n",
    "    # 提取特征\n",
    "    features_list = []\n",
    "    valid_files = []\n",
    "    \n",
    "    for file_path in char_files:\n",
    "        features = extract_features(file_path)\n",
    "        if features is not None:\n",
    "            features_list.append(features)\n",
    "            valid_files.append(file_path)\n",
    "    \n",
    "    if not features_list:\n",
    "        print(\"没有有效的特征可以聚类\")\n",
    "        return\n",
    "    \n",
    "    # 转换为numpy数组\n",
    "    features_array = np.array(features_list)\n",
    "    \n",
    "    # 降维以便可视化\n",
    "    print(\"正在进行降维...\")\n",
    "    pca = PCA(n_components=2)\n",
    "    reduced_features = pca.fit_transform(features_array)\n",
    "    \n",
    "    # 聚类\n",
    "    print(f\"正在进行聚类（{n_clusters}个类别）...\")\n",
    "    kmeans = KMeans(n_clusters=n_clusters, random_state=42)\n",
    "    clusters = kmeans.fit_predict(features_array)\n",
    "    \n",
    "    # 可视化聚类结果\n",
    "    plt.figure(figsize=(12, 8))\n",
    "    \n",
    "    # 不同的颜色代表不同的聚类\n",
    "    colors = plt.cm.rainbow(np.linspace(0, 1, n_clusters))\n",
    "    \n",
    "    for i, cluster in enumerate(np.unique(clusters)):\n",
    "        plt.scatter(\n",
    "            reduced_features[clusters == cluster, 0],\n",
    "            reduced_features[clusters == cluster, 1],\n",
    "            s=50, c=[colors[i]],\n",
    "            label=f'类别 {cluster}'\n",
    "        )\n",
    "    \n",
    "    plt.title(\"汉字聚类分析\")\n",
    "    plt.xlabel(\"主成分 1\")\n",
    "    plt.ylabel(\"主成分 2\")\n",
    "    plt.legend()\n",
    "    plt.grid(True, linestyle='--', alpha=0.7)\n",
    "    plt.show()\n",
    "    \n",
    "    # 显示每个聚类的示例图像\n",
    "    for cluster in range(n_clusters):\n",
    "        # 找出该聚类的所有索引\n",
    "        indices = np.where(clusters == cluster)[0]\n",
    "        \n",
    "        # 如果这个聚类至少有一个样本\n",
    "        if len(indices) > 0:\n",
    "            print(f\"\\n类别 {cluster} 的示例（共 {len(indices)} 个）:\")\n",
    "            \n",
    "            # 计算显示的行数和列数\n",
    "            n_samples = min(10, len(indices))  # 最多显示10个样本\n",
    "            n_cols = min(5, n_samples)\n",
    "            n_rows = (n_samples + n_cols - 1) // n_cols\n",
    "            \n",
    "            plt.figure(figsize=(n_cols*2, n_rows*2))\n",
    "            \n",
    "            for i, idx in enumerate(indices[:n_samples]):\n",
    "                img = cv2.imread(valid_files[idx])\n",
    "                img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "                \n",
    "                plt.subplot(n_rows, n_cols, i+1)\n",
    "                plt.imshow(img)\n",
    "                plt.title(f\"{os.path.basename(valid_files[idx])}\")\n",
    "                plt.axis('off')\n",
    "            \n",
    "            plt.tight_layout()\n",
    "            plt.show()\n",
    "\n",
    "# -----------------------------------\n",
    "# 5. 拼音-汉字映射提取功能\n",
    "# -----------------------------------\n",
    "def extract_pinyin_hanzi_map(image_path):\n",
    "    \"\"\"\n",
    "    从带拼音的汉字表格图像中提取拼音和汉字的映射关系\n",
    "    适用于第二张图中的表格式样\n",
    "    \"\"\"\n",
    "    # 读取图像\n",
    "    img = cv2.imread(image_path)\n",
    "    if img is None:\n",
    "        print(f\"无法读取图像: {image_path}\")\n",
    "        return {}\n",
    "    \n",
    "    # 转为灰度图\n",
    "    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "    \n",
    "    # 边缘检测，用于检测表格线\n",
    "    edges = cv2.Canny(gray, 50, 150, apertureSize=3)\n",
    "    \n",
    "    # 使用霍夫变换检测直线\n",
    "    lines = cv2.HoughLinesP(edges, 1, np.pi/180, threshold=100, minLineLength=100, maxLineGap=10)\n",
    "    \n",
    "    # 分析水平线和垂直线\n",
    "    horizontal_lines = []\n",
    "    vertical_lines = []\n",
    "    \n",
    "    if lines is not None:\n",
    "        for line in lines:\n",
    "            x1, y1, x2, y2 = line[0]\n",
    "            if abs(y2 - y1) < abs(x2 - x1):  # 水平线\n",
    "                horizontal_lines.append((x1, y1, x2, y2))\n",
    "            else:  # 垂直线\n",
    "                vertical_lines.append((x1, y1, x2, y2))\n",
    "    \n",
    "    # 按y坐标排序水平线\n",
    "    horizontal_lines.sort(key=lambda line: line[1])\n",
    "    \n",
    "    # 按x坐标排序垂直线\n",
    "    vertical_lines.sort(key=lambda line: line[0])\n",
    "    \n",
    "    # 计算表格单元格\n",
    "    cells = []\n",
    "    \n",
    "    # 确保有足够的线\n",
    "    if len(horizontal_lines) > 1 and len(vertical_lines) > 1:\n",
    "        for i in range(len(horizontal_lines) - 1):\n",
    "            for j in range(len(vertical_lines) - 1):\n",
    "                # 定义单元格的左上和右下点\n",
    "                top_left = (vertical_lines[j][0], horizontal_lines[i][1])\n",
    "                bottom_right = (vertical_lines[j + 1][0], horizontal_lines[i + 1][1])\n",
    "                \n",
    "                # 添加单元格\n",
    "                cells.append((top_left, bottom_right))\n",
    "    \n",
    "    # 提取每个单元格内的文本\n",
    "    pinyin_hanzi_map = {}\n",
    "    \n",
    "    for (tl, br) in cells:\n",
    "        x1, y1 = tl\n",
    "        x2, y2 = br\n",
    "        \n",
    "        # 稍微缩小ROI，避免包含边框线\n",
    "        margin = 5\n",
    "        cell_img = gray[y1 + margin:y2 - margin, x1 + margin:x2 - margin]\n",
    "        \n",
    "        # 分别提取上半部分（拼音）和下半部分（汉字）\n",
    "        height, width = cell_img.shape\n",
    "        half_height = height // 2\n",
    "        \n",
    "        pinyin_img = cell_img[:half_height, :]\n",
    "        hanzi_img = cell_img[half_height:, :]\n",
    "        \n",
    "        # 使用tesseract识别拼音（英文模式）\n",
    "        try:\n",
    "            pinyin_text = pytesseract.image_to_string(pinyin_img, config='--psm 7').strip()\n",
    "        except:\n",
    "            pinyin_text = \"\"\n",
    "        \n",
    "        # 使用tesseract识别汉字（中文模式）\n",
    "        try:\n",
    "            hanzi_text = pytesseract.image_to_string(Image.fromarray(hanzi_img), \n",
    "                                                  lang='chi_sim', \n",
    "                                                  config='--psm 10').strip()\n",
    "        except:\n",
    "            hanzi_text = \"\"\n",
    "        \n",
    "        # 清理文本\n",
    "        pinyin_text = ''.join(c for c in pinyin_text if c.isalpha() or c in \"āáǎàēéěèīíǐìōóǒòūúǔùǖǘǚǜ\")\n",
    "        hanzi_text = ''.join(c for c in hanzi_text if '\\u4e00' <= c <= '\\u9fff')\n",
    "        \n",
    "        # 如果拼音和汉字都不为空，添加映射\n",
    "        if pinyin_text and hanzi_text and len(hanzi_text) == 1:\n",
    "            pinyin_hanzi_map[pinyin_text] = hanzi_text\n",
    "    \n",
    "    return pinyin_hanzi_map\n",
    "\n",
    "def improved_recognize_chars(folder_path='chars', reference_image=None):\n",
    "    \"\"\"使用拼音-汉字映射辅助识别汉字\"\"\"\n",
    "    if not os.path.exists(folder_path):\n",
    "        print(f\"错误：文件夹 {folder_path} 不存在\")\n",
    "        return []\n",
    "    \n",
    "    # 如果提供了参考图像，提取拼音-汉字映射\n",
    "    pinyin_hanzi_map = {}\n",
    "    if reference_image and os.path.exists(reference_image):\n",
    "        print(\"正在从参考图像提取拼音-汉字映射...\")\n",
    "        pinyin_hanzi_map = extract_pinyin_hanzi_map(reference_image)\n",
    "        print(f\"成功提取了 {len(pinyin_hanzi_map)} 个拼音-汉字映射\")\n",
    "        \n",
    "        # 显示提取的映射\n",
    "        if pinyin_hanzi_map:\n",
    "            print(\"拼音-汉字映射示例:\")\n",
    "            for i, (pinyin, hanzi) in enumerate(list(pinyin_hanzi_map.items())[:10]):\n",
    "                print(f\"{pinyin}: {hanzi}\", end=\"  \")\n",
    "                if (i+1) % 5 == 0:\n",
    "                    print()\n",
    "            print(\"\\n\")\n",
    "    \n",
    "    # 获取所有PNG图像\n",
    "    char_files = [f for f in os.listdir(folder_path) if f.endswith('.png')]\n",
    "    char_files.sort()  # 按文件名排序\n",
    "    \n",
    "    results = []\n",
    "    \n",
    "    print(f\"开始识别 {len(char_files)} 个汉字图像...\")\n",
    "    for file in char_files:\n",
    "        file_path = os.path.join(folder_path, file)\n",
    "        \n",
    "        # 获取编号\n",
    "        num = int(file.split('_')[1].split('.')[0])\n",
    "        \n",
    "        # 读取图像\n",
    "        img = cv2.imread(file_path)\n",
    "        if img is None:\n",
    "            print(f\"无法读取图像：{file_path}\")\n",
    "            continue\n",
    "        \n",
    "        # 转换为PIL图像\n",
    "        pil_img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))\n",
    "        \n",
    "        # 使用pytesseract识别汉字\n",
    "        try:\n",
    "            # 使用中文简体模式\n",
    "            text = pytesseract.image_to_string(pil_img, lang='chi_sim', config='--psm 10')\n",
    "            # 清理识别结果\n",
    "            text = text.strip().replace(' ', '').replace('\\n', '')\n",
    "            \n",
    "            # 提取拼音进行匹配（尝试识别拼音）\n",
    "            pinyin = pytesseract.image_to_string(pil_img, config='--psm 10')\n",
    "            pinyin = ''.join(c for c in pinyin if c.isalpha() or c in \"āáǎàēéěèīíǐìōóǒòūúǔùǖǘǚǜ\").lower()\n",
    "            \n",
    "            # 如果识别出的汉字为空或不是一个汉字，尝试用拼音映射表匹配\n",
    "            if not text or len(text) != 1 or not '\\u4e00' <= text <= '\\u9fff':\n",
    "                # 在映射表中寻找最接近的拼音\n",
    "                if pinyin_hanzi_map:\n",
    "                    best_match = None\n",
    "                    best_score = 0\n",
    "                    \n",
    "                    for ref_pinyin, ref_hanzi in pinyin_hanzi_map.items():\n",
    "                        # 计算拼音相似度（简单版）\n",
    "                        common_chars = sum(1 for c in pinyin if c in ref_pinyin.lower())\n",
    "                        if common_chars > best_score and len(ref_pinyin) > 0:\n",
    "                            best_score = common_chars\n",
    "                            best_match = ref_hanzi\n",
    "                    \n",
    "                    # 如果找到较好的匹配，使用映射表中的汉字\n",
    "                    if best_match and best_score >= 1:\n",
    "                        text = best_match\n",
    "            \n",
    "            # 确保结果是单个汉字\n",
    "            if text and '\\u4e00' <= text[0] <= '\\u9fff':\n",
    "                text = text[0]  # 仅保留第一个汉字\n",
    "                results.append((num, text, file_path))\n",
    "            else:\n",
    "                results.append((num, \"未识别\", file_path))\n",
    "        except Exception as e:\n",
    "            print(f\"识别汉字 {file} 时出错: {str(e)}\")\n",
    "            results.append((num, \"识别错误\", file_path))\n",
    "    \n",
    "    print(f\"识别完成！共识别 {len(results)} 个汉字\")\n",
    "    return results\n",
    "\n",
    "def run_improved_recognition(reference_image=\"hanzi_with_pinyin.jpg\"):\n",
    "    \"\"\"运行改进的汉字识别并展示结果\"\"\"\n",
    "    if os.path.exists('chars'):\n",
    "        # 使用参考图像进行改进识别\n",
    "        results = improved_recognize_chars('chars', reference_image)\n",
    "        \n",
    "        # 可视化识别结果\n",
    "        if results:\n",
    "            visualize_recognition_results(results)\n",
    "            \n",
    "            # 导出识别结果\n",
    "            export_recognition_results(results, 'improved_recognized_chars.txt')\n",
    "            \n",
    "            # 统计识别率\n",
    "            recognized_count = sum(1 for _, text, _ in results if text != \"未识别\" and text != \"识别错误\")\n",
    "            print(f\"识别率: {recognized_count}/{len(results)} ({recognized_count/len(results)*100:.2f}%)\")\n",
    "            \n",
    "            # 将所有识别结果合并为一个文本\n",
    "            all_chars = ''.join(text for _, text, _ in results if text != \"未识别\" and text != \"识别错误\")\n",
    "            print(f\"识别出的所有汉字: {all_chars}\")\n",
    "    else:\n",
    "        print(\"错误：'chars'文件夹不存在，请先运行提取汉字的代码\")\n",
    "\n",
    "# -----------------------------------\n",
    "# 6. 智能汉字提取功能（适用于不同格式的生字表）\n",
    "# -----------------------------------\n",
    "def auto_extract_chars(image_path, output_dir='extracted_chars'):\n",
    "    \"\"\"\n",
    "    自动检测并提取不同格式生字表中的汉字\n",
    "    可以处理有表格线或无表格线的情况\n",
    "    \"\"\"\n",
    "    # 创建输出目录\n",
    "    os.makedirs(output_dir, exist_ok=True)\n",
    "    \n",
    "    # 1. 读取图像\n",
    "    img = cv2.imread(image_path)\n",
    "    if img is None:\n",
    "        print(f\"无法读取图像: {image_path}\")\n",
    "        return []\n",
    "    \n",
    "    # 创建结果副本\n",
    "    result_img = img.copy()\n",
    "    \n",
    "    # 2. 预处理图像\n",
    "    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "    blurred = cv2.GaussianBlur(gray, (5, 5), 0)\n",
    "    \n",
    "    # 3. 根据图像类型选择不同的处理方法\n",
    "    # 检测是否有明显的表格线\n",
    "    edges = cv2.Canny(gray, 50, 150)\n",
    "    lines = cv2.HoughLinesP(edges, 1, np.pi/180, threshold=100, minLineLength=100, maxLineGap=10)\n",
    "    \n",
    "    has_table_lines = lines is not None and len(lines) > 20\n",
    "    \n",
    "    if has_table_lines:\n",
    "        print(\"检测到表格线，使用表格提取方法...\")\n",
    "        # 对有表格线的图像使用自适应二值化\n",
    "        binary = cv2.adaptiveThreshold(blurred, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, \n",
    "                                    cv2.THRESH_BINARY_INV, 25, 15)\n",
    "        \n",
    "        # 检测并删除表格线\n",
    "        horizontal_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (40, 1))\n",
    "        vertical_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (1, 40))\n",
    "        \n",
    "        horizontal_lines = cv2.morphologyEx(binary, cv2.MORPH_OPEN, horizontal_kernel, iterations=2)\n",
    "        vertical_lines = cv2.morphologyEx(binary, cv2.MORPH_OPEN, vertical_kernel, iterations=2)\n",
    "        \n",
    "        table_lines = cv2.add(horizontal_lines, vertical_lines)\n",
    "        no_lines = cv2.subtract(binary, table_lines)\n",
    "        \n",
    "        # 提取汉字区域\n",
    "        kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3))\n",
    "        char_img = cv2.morphologyEx(no_lines, cv2.MORPH_CLOSE, kernel, iterations=2)\n",
    "    else:\n",
    "        print(\"未检测到明显表格线，使用字符区域提取方法...\")\n",
    "        # 对没有表格线的图像使用Otsu二值化\n",
    "        _, binary = cv2.threshold(blurred, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)\n",
    "        char_img = binary\n",
    "    \n",
    "    # 4. 找出所有可能的汉字区域\n",
    "    contours, _ = cv2.findContours(char_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
    "    \n",
    "    # 5. 过滤和处理找到的区域\n",
    "    valid_chars = []\n",
    "    \n",
    "    # 计算平均面积，用于过滤\n",
    "    if contours:\n",
    "        areas = [cv2.contourArea(cnt) for cnt in contours]\n",
    "        mean_area = np.mean(areas)\n",
    "        std_area = np.std(areas)\n",
    "        \n",
    "        # 面积过滤范围\n",
    "        min_area = max(500, mean_area * 0.2)  # 至少500像素或平均面积的20%\n",
    "        max_area = mean_area * 5  # 平均面积的5倍\n",
    "        \n",
    "        for i, cnt in enumerate(contours):\n",
    "            area = cv2.contourArea(cnt)\n",
    "            if min_area <= area <= max_area:\n",
    "                x, y, w, h = cv2.boundingRect(cnt)\n",
    "                aspect_ratio = float(w) / h\n",
    "                \n",
    "                # 如果不是大致正方形，跳过\n",
    "                if 0.5 <= aspect_ratio <= 2.0:\n",
    "                    # 在结果图像上标记找到的汉字\n",
    "                    cv2.rectangle(result_img, (x, y), (x+w, y+h), (0, 255, 0), 2)\n",
    "                    \n",
    "                    # 提取汉字区域\n",
    "                    char_roi = gray[y:y+h, x:x+w]\n",
    "                    \n",
    "                    # 再次二值化，确保清晰\n",
    "                    _, char_bin = cv2.threshold(char_roi, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)\n",
    "                    \n",
    "                    # 添加边框\n",
    "                    char_bin_padded = cv2.copyMakeBorder(char_bin, 20, 20, 20, 20, \n",
    "                                                      cv2.BORDER_CONSTANT, value=0)\n",
    "                    \n",
    "                    # 调整大小\n",
    "                    char_resized = cv2.resize(char_bin_padded, (100, 100), interpolation=cv2.INTER_AREA)\n",
    "                    \n",
    "                    # 保存图像\n",
    "                    output_path = f\"{output_dir}/char_{i+1:03d}.png\"\n",
    "                    cv2.imwrite(output_path, char_resized)\n",
    "                    \n",
    "                    # 尝试识别\n",
    "                    try:\n",
    "                        pil_img = Image.fromarray(char_resized)\n",
    "                        text = pytesseract.image_to_string(pil_img, lang='chi_sim', config='--psm 10')\n",
    "                        text = text.strip().replace(' ', '').replace('\\n', '')\n",
    "                        if text and '\\u4e00' <= text[0] <= '\\u9fff':\n",
    "                            char_text = text[0]\n",
    "                        else:\n",
    "                            char_text = \"未识别\"\n",
    "                    except:\n",
    "                        char_text = \"识别失败\"\n",
    "                    \n",
    "                    valid_chars.append((i+1, char_text, output_path, (x, y, w, h)))\n",
    "    \n",
    "    # 6. 可视化提取结果\n",
    "    plt.figure(figsize=(12, 10))\n",
    "    plt.imshow(cv2.cvtColor(result_img, cv2.COLOR_BGR2RGB))\n",
    "    plt.title(\"检测到的汉字区域\")\n",
    "    plt.axis('off')\n",
    "    plt.show()\n",
    "    \n",
    "    print(f\"共找到并提取了 {len(valid_chars)} 个可能的汉字\")\n",
    "    \n",
    "    # 7. 显示提取的汉字\n",
    "    if valid_chars:\n",
    "        # 计算行数和列数\n",
    "        n = len(valid_chars)\n",
    "        cols = min(10, n)\n",
    "        rows = (n + cols - 1) // cols\n",
    "        \n",
    "        plt.figure(figsize=(cols*1.5, rows*1.5))\n",
    "        \n",
    "        for i, (idx, text, path, _) in enumerate(valid_chars):\n",
    "            if i >= rows * cols:\n",
    "                break\n",
    "                \n",
    "            img = cv2.imread(path)\n",
    "            img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "            \n",
    "            plt.subplot(rows, cols, i+1)\n",
    "            plt.imshow(img)\n",
    "            plt.title(f\"{idx}: {text}\", fontsize=10)\n",
    "            plt.axis('off')\n",
    "        \n",
    "        plt.tight_layout()\n",
    "        plt.show()\n",
    "    \n",
    "    return valid_chars\n",
    "\n",
    "# -----------------------------------\n",
    "# 7. 主函数与功能调用接口\n",
    "# -----------------------------------\n",
    "def main():\n",
    "    \"\"\"主函数，提供用户选择不同功能的接口\"\"\"\n",
    "    input_image = \"hanzi1.jpg\"\n",
    "    \n",
    "    if not os.path.exists(input_image):\n",
    "        print(f\"错误：输入图像 {input_image} 不存在\")\n",
    "        return\n",
    "    \n",
    "    print(\"\\n========== 汉字识别系统 ==========\")\n",
    "    print(\"1. 从原始图像提取汉字并识别\")\n",
    "    print(\"2. 对已提取的汉字进行批量识别\")\n",
    "    print(\"3. 使用拼音辅助进行汉字识别\")\n",
    "    print(\"4. 对汉字进行聚类分析\")\n",
    "    print(\"5. 智能汉字提取（适用于不同格式的生字表）\")\n",
    "    print(\"6. 全部流程（提取、识别、分析）\")\n",
    "    print(\"0. 退出\")\n",
    "    \n",
    "    choice = input(\"\\n请选择功能 (0-6): \")\n",
    "    \n",
    "    try:\n",
    "        choice = int(choice)\n",
    "        \n",
    "        if choice == 0:\n",
    "            print(\"程序已退出\")\n",
    "            return\n",
    "            \n",
    "        elif choice == 1:\n",
    "            # 从原始图像提取汉字并识别\n",
    "            print(\"\\n===== 从原始图像提取汉字并识别 =====\")\n",
    "            results = extract_chars_from_worksheet(input_image, recognize_text=True)\n",
    "            \n",
    "            # 可视化并导出结果\n",
    "            if results:\n",
    "                visualize_recognition_results(results)\n",
    "                export_recognition_results(results)\n",
    "                \n",
    "                # 统计识别结果\n",
    "                recognized_count = sum(1 for _, text, _ in results if text != \"未识别\" and text != \"识别错误\")\n",
    "                print(f\"识别率: {recognized_count}/{len(results)} ({recognized_count/len(results)*100:.2f}%)\")\n",
    "                \n",
    "                # 将所有识别结果合并为一个文本\n",
    "                all_chars = ''.join(text for _, text, _ in results if text != \"未识别\" and text != \"识别错误\")\n",
    "                print(f\"识别出的所有汉字: {all_chars}\")\n",
    "            \n",
    "        elif choice == 2:\n",
    "            # 对已提取的汉字进行批量识别\n",
    "            if os.path.exists('chars'):\n",
    "                print(\"\\n===== 识别已提取的汉字图像 =====\")\n",
    "                results = batch_recognize_chars('chars')\n",
    "                \n",
    "                # 可视化识别结果\n",
    "                if results:\n",
    "                    visualize_recognition_results(results)\n",
    "                    \n",
    "                    # 导出识别结果\n",
    "                    export_recognition_results(results)\n",
    "                    \n",
    "                    # 统计识别率\n",
    "                    recognized_count = sum(1 for _, text, _ in results if text != \"未识别\" and text != \"识别错误\")\n",
    "                    print(f\"识别率: {recognized_count}/{len(results)} ({recognized_count/len(results)*100:.2f}%)\")\n",
    "                    \n",
    "                    # 将所有识别结果合并为一个文本\n",
    "                    all_chars = ''.join(text for _, text, _ in results if text != \"未识别\" and text != \"识别错误\")\n",
    "                    print(f\"识别出的所有汉字: {all_chars}\")\n",
    "            else:\n",
    "                print(\"错误：'chars'文件夹不存在，请先运行提取汉字的代码\")\n",
    "            \n",
    "        elif choice == 3:\n",
    "            # 使用拼音辅助进行汉字识别\n",
    "            print(\"\\n===== 使用拼音辅助识别 =====\")\n",
    "            run_improved_recognition(input_image)\n",
    "            \n",
    "        elif choice == 4:\n",
    "            # 对汉字进行聚类分析\n",
    "            if os.path.exists('chars'):\n",
    "                print(\"\\n===== 汉字聚类分析 =====\")\n",
    "                cluster_characters(n_clusters=6)\n",
    "            else:\n",
    "                print(\"错误：'chars'文件夹不存在，请先运行提取汉字的代码\")\n",
    "            \n",
    "        elif choice == 5:\n",
    "            # 智能汉字提取\n",
    "            print(\"\\n===== 智能汉字提取 =====\")\n",
    "            auto_results = auto_extract_chars(input_image, \"auto_chars\")\n",
    "            \n",
    "            # 统计识别情况\n",
    "            if auto_results:\n",
    "                recognized_count = sum(1 for _, text, _, _ in auto_results if text != \"未识别\" and text != \"识别失败\")\n",
    "                print(f\"自动识别率: {recognized_count}/{len(auto_results)} ({recognized_count/len(auto_results)*100:.2f}%)\")\n",
    "                \n",
    "                # 导出识别结果\n",
    "                with open('auto_recognized_chars.txt', 'w', encoding='utf-8') as f:\n",
    "                    f.write(\"序号,识别结果,文件路径\\n\")\n",
    "                    for idx, text, path, _ in auto_results:\n",
    "                        f.write(f\"{idx},{text},{path}\\n\")\n",
    "                \n",
    "                print(f\"自动识别结果已导出到 auto_recognized_chars.txt\")\n",
    "            \n",
    "        elif choice == 6:\n",
    "            # 全部流程\n",
    "            print(\"\\n===== 全部流程 =====\")\n",
    "            \n",
    "            # 1. 从原始图像提取汉字\n",
    "            print(\"\\n1. 从原始图像提取汉字并识别\")\n",
    "            results = extract_chars_from_worksheet(input_image, recognize_text=True)\n",
    "            \n",
    "            # 可视化并导出结果\n",
    "            if results:\n",
    "                visualize_recognition_results(results)\n",
    "                export_recognition_results(results)\n",
    "                \n",
    "                # 统计识别结果\n",
    "                recognized_count = sum(1 for _, text, _ in results if text != \"未识别\" and text != \"识别错误\")\n",
    "                print(f\"基础识别率: {recognized_count}/{len(results)} ({recognized_count/len(results)*100:.2f}%)\")\n",
    "            \n",
    "            # 2. 拼音辅助识别\n",
    "            print(\"\\n2. 使用拼音辅助识别\")\n",
    "            improved_results = improved_recognize_chars('chars', input_image)\n",
    "            \n",
    "            if improved_results:\n",
    "                visualize_recognition_results(improved_results)\n",
    "                export_recognition_results(improved_results, 'improved_recognized_chars.txt')\n",
    "                \n",
    "                # 统计识别率\n",
    "                recognized_count = sum(1 for _, text, _ in improved_results if text != \"未识别\" and text != \"识别错误\")\n",
    "                print(f\"改进识别率: {recognized_count}/{len(improved_results)} ({recognized_count/len(improved_results)*100:.2f}%)\")\n",
    "            \n",
    "            # 3. 聚类分析\n",
    "            print(\"\\n3. 汉字聚类分析\")\n",
    "            cluster_characters(n_clusters=6)\n",
    "            \n",
    "            # 4. 智能提取\n",
    "            print(\"\\n4. 智能汉字提取\")\n",
    "            auto_results = auto_extract_chars(input_image, \"auto_chars\")\n",
    "            \n",
    "            print(\"\\n===== 全部流程执行完毕 =====\")\n",
    "        \n",
    "        else:\n",
    "            print(\"无效的选择，请输入0-6之间的数字\")\n",
    "    \n",
    "    except ValueError:\n",
    "        print(\"无效的输入，请输入数字\")\n",
    "    except Exception as e:\n",
    "        print(f\"执行过程中发生错误：{str(e)}\")\n",
    "\n",
    "# 直接运行程序\n",
    "if __name__ == \"__main__\":\n",
    "    # 设置Tesseract路径（根据实际安装位置调整）\n",
    "    # pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'\n",
    "    \n",
    "    # 运行主程序\n",
    "    main()\n",
    "    \n",
    "    # 或者直接调用特定功能\n",
    "    # 示例：从图像提取并识别汉字\n",
    "    # results = extract_chars_from_worksheet(\"hanzi1.jpg\", recognize_text=True)\n",
    "    # if results:\n",
    "    #     visualize_recognition_results(results)\n",
    "    #     export_recognition_results(results)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "344b4db8",
   "metadata": {},
   "source": [
    "## 汉字识别系统功能说明\n",
    "\n",
    "本系统提供了一个完整的汉字提取与识别解决方案，主要包含以下功能模块：\n",
    "\n",
    "### 1. 基础汉字提取与识别功能\n",
    "- 从生字表图像中精确提取汉字\n",
    "- 使用Tesseract OCR引擎进行汉字识别\n",
    "- 支持表格式生字表的处理\n",
    "\n",
    "### 2. 结果可视化与导出功能\n",
    "- 将识别结果以网格形式展示\n",
    "- 支持导出到文本文件\n",
    "\n",
    "### 3. 批量识别功能\n",
    "- 对已提取的汉字图像进行批量识别\n",
    "- 提供识别率统计\n",
    "\n",
    "### 4. 汉字特征提取和聚类分析\n",
    "- 使用HOG特征对汉字进行特征提取\n",
    "- 基于K-means进行汉字聚类\n",
    "- 通过降维可视化相似汉字\n",
    "\n",
    "### 5. 拼音辅助识别功能\n",
    "- 从带拼音的表格中提取拼音-汉字映射\n",
    "- 结合拼音信息提高识别准确率\n",
    "- 适用于难以直接识别的书法字体\n",
    "\n",
    "### 6. 智能汉字提取功能\n",
    "- 自适应处理不同格式的生字表\n",
    "- 自动检测表格线与非表格线情况\n",
    "- 使用统计方法进行智能过滤\n",
    "\n",
    "### 7. 用户交互界面\n",
    "- 提供简单的命令行交互界面\n",
    "- 支持选择不同功能模块\n",
    "- 支持一键运行全部流程\n",
    "\n",
    "### 使用方法\n",
    "1. 确保已安装必要的依赖（Tesseract OCR、Python库）\n",
    "2. 设置Tesseract路径（取消注释并修改路径）\n",
    "3. 将需要处理的生字表图像放在同一目录下\n",
    "4. 运行本单元格中的代码\n",
    "5. 按照提示选择需要的功能"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "edb1f9c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 运行示例：执行整个汉字识别流程\n",
    "# 取消下面一行的注释，并设置为你的Tesseract安装路径\n",
    "# pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'\n",
    "\n",
    "# 直接调用main函数，启动交互式菜单\n",
    "if __name__ == \"__main__\":\n",
    "    main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e86a40dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 直接运行特定功能示例\n",
    "# 取消下面一行的注释，并设置为你的Tesseract安装路径\n",
    "# pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'\n",
    "\n",
    "# 示例1：从图像提取并识别汉字\n",
    "input_image = \"hanzi1.jpg\"\n",
    "if os.path.exists(input_image):\n",
    "    # 提取并识别汉字\n",
    "    results = extract_chars_from_worksheet(input_image, recognize_text=True)\n",
    "    \n",
    "    # 可视化识别结果\n",
    "    if results:\n",
    "        visualize_recognition_results(results)\n",
    "        \n",
    "        # 统计识别率\n",
    "        recognized_count = sum(1 for _, text, _ in results if text != \"未识别\" and text != \"识别错误\")\n",
    "        print(f\"识别率: {recognized_count}/{len(results)} ({recognized_count/len(results)*100:.2f}%)\")\n",
    "        \n",
    "        # 将所有识别结果合并为一个文本\n",
    "        all_chars = ''.join(text for _, text, _ in results if text != \"未识别\" and text != \"识别错误\")\n",
    "        print(f\"识别出的所有汉字: {all_chars}\")\n",
    "else:\n",
    "    print(f\"错误：输入图像 {input_image} 不存在\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.20"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
